This README reveals the data that has been used for the study:

*Regional Estimation of Wind Power Production in Finland Using k-means Clustering and Power Curve Fitting*

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Abbreviations:

* 4PLF 4-parameter logistic function
* FMI Finnish Meteorological Institute
* GWA Global Wind Atlas
* WTG Wind turbine generator

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Data used for the study is acquired from FMI (wind speed and wind direction), Fingrid (wind power generation) and Renewables Finland (Suomen Uusiutuvat ry) (wind farm specific data) are open-source data.

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CONTENTS:

* ObservationStationsData.mat

&nbsp;	- Name of observation station

&nbsp;	- Coordinates in Lat/Lon

&nbsp;	- Height \[m]

&nbsp;	- Average wind speed observed at 10 min. resolution

&nbsp;	- Average wind direction observed at 10 min. resolution

* ObservationStationsDataClustered.mat

&nbsp;	- Same as above

&nbsp;	- Clustered as CX, where X = number of associated cluster (i.e. C1 = Cluster 1)

&nbsp;	- z0: reference length acquired from GWA

&nbsp;	- zm: same as Height \[m]

See https://en.ilmatieteenlaitos.fi/ for above .mat files.

* P\_Fingrid.mat

&nbsp;	- Informed wind power generation from Fingrid. See https://www.fingrid.fi/en/electricity-market-information/wind-power-generation/

* P\_C.mat

&nbsp;	- Cluster-allocated P\_Fingrid.mat based on the cluster wind power capacity and cluster average wind speed. See Fig.6 in the study

* WindParkData.mat

&nbsp;	- Name of wind park

&nbsp;	- Location (City)

&nbsp;	- Location (degrees, minutes, seconds)

&nbsp;	- Installed capacity \[MW]

&nbsp;	- Number of WTG installed

&nbsp;	- Manufacturer of WTG

&nbsp;	- Hub height of WTG

&nbsp;	- Rotor diameter of WTG

&nbsp;	- Location (Lat/Lon)

&nbsp;	- Associated cluster, informed as CX, where X = number of associated cluster (i.e. C1 = Cluster 1)

&nbsp;	See https://suomenuusiutuvat.fi/en/wind-power/projects-and-wind-turbines-in-finland/operating-and-dismantled-wind-turbines/

* Folder Curves

&nbsp;	Folder CX, where X = number of associated cluster (i.e. C1 = Cluster 1)

&nbsp;		Cp\_4PLF\_CX.mat

&nbsp;			- Power coeff. curve based on 4PLF fitting method

&nbsp;		Cp\_poly\_CX.mat

&nbsp;			- Power coeff. curve based on polynomial regression fitting method

&nbsp;		P\_4PLF\_CX.mat

&nbsp;			- Power curve based on 4PLF fitting method

&nbsp;		P\_poly\_CX.mat

&nbsp;			- Power curve based on polynomial regression fitting method

&nbsp;	P\_model\_4plf\_all.mat

&nbsp;		- Aggregated total based on the sum of P\_4PLF\_CX.mat for all clusters (C1-C5)

&nbsp;	P\_model\_poly\_all.mat

&nbsp;		- Aggregated total based on the sum of P\_poly\_CX.mat for all clusters (C1-C5)

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Contact info (e-mail)



Marek Rehtla

marek.rehtla@lut.fi

